人工智能作为药物发现和开发的工具
Maria Kokudeva1, Mincho Vichev2, Emilia Naseva3
1Department of Pharmacology and Toxicology, Faculty of Pharmacy, Medical University of Sofia, Sofia 1000, Bulgaria. kokudeva.mariya@gmail.com.
World journal of experimental medicine
|September 23, 2024
概括
人工智能 (AI) 通过增强目标识别和领先优化,为药物发现和开发提供了变革性的潜力. 数据隐私和模型可解释性等挑战需要仔细考虑,才能成功地实现制药整合.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 生物技术是生物技术.
背景情况:
- 人工智能 (AI) 正在迅速发展,对制药行业产生重大影响.
- 包括机器学习和深度学习在内的AI工具可以简化药物发现和开发过程.
研究的目的:
- 批判性地研究将人工智能整合到制药研究中的可行性和前景.
- 讨论AI在目标识别,领先优化和预测建模中的作用.
主要方法:
- 审查目前AI驱动的药物开发方法.
- 分析整合omics数据,电子健康记录和化学信息学.
- 探索挑战和伦理考虑.
主要成果:
- 人工智能在加速药物重定向和识别新疗法目标方面表现出潜力.
- 多样化的数据集的整合增强了AI的预测能力.
- 挑战包括数据隐私,模型可解释性和临床验证.
结论:
- 人工智能为药物发现提供了一个变革性的机会,但需要解决重大挑战.
- 进一步的研究和道德准则是必要的,以充分利用AI在制药方面的潜力.
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